MACHINE LEARNING-BASED OPTIMIZATION OF AIRFARE PRICE FORECASTING
DOI:
https://doi.org/10.48047/wwg0qk10Keywords:
.Abstract
Accurate airfare price forecasting is essential for both travelers and airline companies, enabling cost-effective bookings and optimized revenue management. Airfare prices are highly dynamic, influenced by factors such as seasonality, demand fluctuations, airline competition, and fuel costs. Conventional price prediction methods struggle to adapt to these complex variations, often leading to inaccurate forecasts.
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References
Concept of a Numerical Forecast Model. Accessed: Aug. 10, 2023. [Online]. Available: http://web.kma.go.kr/aboutkma/intro/superc
om/model/model_concept.jsp
P. Davis, C. Ruth, A. A. Scaife, and J. Kettleborough, ‘‘A large ensemble seasonal forecasting system: GloSea6,’’ Dec. 2020,
vol. 2020.
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